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# What does this PR do ?
Replace the previous silence insertion method with a new one that guarantees close approximation to specified `mean_silence`
**Collection**: [ASR]
# Adding Silence in ASR Data Simulator
## Requirements:
1. Sentence durations in each... | {
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I am trying to extract timestamps for a model stt_en_conformer_transducer_large
Following https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/asr/ASR_with_Transducers.ipynb#scrollTo=xkv_x8NAfpX3
But I'm having difficulty converting timestamps:
"Note that e... | {
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# What does this PR do ?
Update `isort` to the latest version
**Collection**: [Note which collection this PR will affect]
# Changelog
- update `isort` to the latest version
- apply latest `isort` to the codebase
# Usage
```shell
isort . # one can ... | {
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In many places in NeMo, Python type annotations are used.
Since type annotations are not checked, there are some cases where annotations are incorrect or not precise (e.g., using one type when some union is really used).
**Describe the solution y... | {
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NeMo currently requires a very old version of `isort` (<5). The latest version is 5.10.1
Benefits of supporting the latest `isort`:
- latest version => improved support, fewer bugs, etc
- no conflicts with new repos, more friendly for new develo... | {
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Im now using pyaudio with stream_callback as provided by Online_ASR_Microphone_Demo.ipynb, but Im stuck in how to progress further.
I found the script of speech_to_text_cache_aware_streaming... | {
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} | null | null | null | I tried to train a fastpitch model on the Blizzard 2013 dataset. When I started the training, lots of such warnings kept popping up, for example,
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[NeMo W 2023-01-31 10:06:18 tts_tokenizers:478] Text: [And then on her BRIY1FLIY0 IH0KSPREH1SIH0NG HHER1 sorrow for what HHIY1 must have suffered, HHIY1 replied,] cont... | {
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# What does this PR do ?
Removes `MCD_DTW_examples.tar`
**Collection**: TTS
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- Add specific line by line info of high level changes in this PR.
# Usage
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# What does this PR do ?
Some fixes and minor improvements to README.rst and RTD docs,
# Changelog
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} | null | null | null | I have been trying to train the SqueezeFormer-based ASR model for the Hindi language. Model is only converging if I use BPE based vocabulary while if I used Non BPE based vocabulary on same training data model fails to converge.
Below are the experiment logs.
**BPE-BASED VOCABULARY**
![bpe](https://user-images.git... | {
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# What does this PR do ?
Fix typo in readme
**Collection**: [Note which collection this PR will affect]
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- Add specific line by line info of high level changes in this PR.
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I have cloned the intent and slot classification tutorial and running it on Sagemaker.
The branch is "Main", Environment Pytorch 1.12 and python 3.8.
I have tried running via Jupiter notebook and via terminal.
The result is always the same I have the training loss stack at 4.13 after 22 Epochs and still t... | {
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**Collection**: ASR
# Changelog
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# What does this PR do ?
ONNX export for RadTTS is now functional.
Working around: https://github.com/pytorch/pytorch/pull/91526
**Collection**: [Note which collection this PR will affect]
# Changelog
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**Collection**: Core
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Trying to follow the instructions on:
https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/tts_en_lj_vits
But got the error of:
FileNotFoundError: Model tts_en_lj_vits was not found. Check cls.list_available_models() for ... | {
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**Collection**: ASR
# Changelog
- Add `device` option to the `diarizer.clustering.parameters` configuration group so t... | {
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} | Reduce memory usage in getMultiScaleCosAffinityMatrix function
Signed-off-by: gabitza-tech <gabriel.pirlogeanu@gmail.com>
# What does this PR do ?
Replace some tensor multiplication in the function for multi scale cos affinity matrix calculation with a single tensor in which we add the repeated embeddings mult... | {
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# What does this PR do ?
add ambernet to readme
**Collection**: [ASR]
# Changelog
- add ambernet to readme
# Before your PR is "Ready for review"
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# What does this PR do ?
add ambernet to readme
**Collection**: [ASR]
# Changelog
- add ambernet to readme
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
fix val loss computation
When drop last is set to false for validation, currently valid samples are computed assuming any token in a valid sample will not be masked. This case might not be true always. Also, last sample of the dataset could be incomplete as well.
**Collection**: [Note w... | {
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Fix groundtruth label mapping in `batch_inference` in `label_models.py` and add test.
**Collection**: ASR
# Changelog
- The groundtruth label `batch_inference` was mapped wrongly. Fixed it
- Add test for `batch_inference`
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changed WHATEVER ˌwʌˈtɛvɚ to WHATEVER ˌwʌtˈɛvɚ and deleted WHATEVER(1)
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**"Invalid Notebook"**
**"The Notebook Does Not Appear to Be Valid JSON"**
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Is ONNX runtime fully supported for the cache-aware Conformer Encoder?
With a side-by-side comparison of calling `asr_model.encoder.forward()` and ONNX encoder `session.run()`, the latency for PyTorch and ONNX version is different, with ONNX 2-3 times slower than the PyTorch version.
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Add CPU offloading and memory tricks to let NFA work for up to 2 hours of audio via offloading
**Collection**: [Tools, ASR]
# Changelog
- Add granular CPU offloading of tensors
- Replace all repeat with expand to prevent unnecessarily allocating memory
- Add support for local atte... | {
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# What does this PR do ?
Fix memory leak and improve speed of the simulator.
**Collection**: [ASR]
# Changelog
- Fix memory leak by cleaning up buffers and variables after each session is created
- Improve speed by generating candidate speakers and their aud... | {
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} | # What does this PR do ?
This PR fixes a bug in ALiBi implementation.
ALiBi paper: https://arxiv.org/abs/2108.12409
Results shows that ALiBi is comparable in performance to RPE, and is faster by 7% from RPE and 8% slower than learnable abs embeddings during training.
See plots below. ALiBi (this PR) in green... | {
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# What does this PR do ?
JSON indentation fix
**Collection**: VAD
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# What does this PR do ?
JSON indentation fix
**Collection**: VAD
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# What does this PR do ?
updated with more entries for both dictionary and heteronyms.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
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# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | null | null | null | I would like to initialize a **MegatronBertModel** instead of **TextClassificationModel**, for a classification task. Basically I need to use MegatronBERT based model and tokenizer. I did not find any corresponding config file, how do I configure the YAML config file to achieve this?
Something like this:
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} | # What does this PR do ?
This PR adds the export of the segmentation file to a label file that can directly be imported in Audacity to quickly and easily assess the quality of the segmentation.
**Collection**: [Note which collection this PR will affect]
# Changelog
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Correct NFA README typo and fix an NFA error that would give incorrect timestamps when the input audio had a different sampling rate to that of the ASR model.
**Collection**: tools/nemo_forced_aligner
# Changelog
- Correct NFA README typo: 'samples' -> 'seconds'
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Adds the ability to fine-tune NeMo-Megatron trained GPT models on multiple downstream datasets.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
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Fix issue with torchmetrics ConfusionMatrix function
**Collection**: ASR
# Changelog
- add task arg
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
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Fix issue with torchmetrics ConfusionMatrix function
**Collection**: ASR
# Changelog
- add task arg
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**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
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**Collection**: [Note which collection this PR will affect]
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# What does this PR do ?
Add documentation for NeMo multi-run support
**Collection**: [Core]
# Changelog
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# What does this PR do ?
Fixes Docker builds with `torchaudio` library:
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# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
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} | # What does this PR do ?
Work in progress:
- Export unified (encoder and decoder) onnx model for cache-aware conformer CTC models.
- truncate encoded_output and caches where needed for easier deployment
- Use consistent chunk size etc so that first chunk is treated like other chunk whenever possible. This simp... | {
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Whenever the pre-training is initiated with script **speech_pre_training.py** with default configuration file **conformer_ssl.yaml** configuration, the following error is encountered:
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} | Signed-off-by: Daniel Egert <degert@nvidia.com>
# What does this PR do ?
This PR allows the audio lexical PNC model to also import pretrained SSL models for the audio encoder, and allows importing any audio encoder which is on disk, and not just on NGC
**Collection**: [Note which collection this PR will affect... | {
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} | # What does this PR do ?
Fixes `ctc-decoders` installation in `Offline_ASR` notebook.
**Collection**: ASR
# Changelog
- Updated CTC decoders installation
# Usage
# Before your PR is "Ready for review"
**Pre checks**:
- [X] Make sure you read and followed [Contributor guidelines](https://github.com/NV... | {
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} | null | null | null | I recognize there's a lot of copy-pasta from the classic t5 denoising function, but this shuffle is unnecessary, or there's a bug
https://github.com/NVIDIA/NeMo/blob/b69f61d4c05ce7ee35d1474025998ca6e5c20d72/nemo/collections/nlp/data/language_modeling/megatron/dataset_utils.py#L497
no big deal, just thought I'd fl... | {
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} | # What does this PR do ?
remove transformer version upper bound
**Collection**: nlp, asr, tts
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# ... | {
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} | # What does this PR do ?
This PR allows use to set the batch sizes for validation. This in turn allows the use to set `validation_drop_last=False` in the config. Allowing more control over the validation loss calculation and reporting.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high ... | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
It will add IPA config files for RADTTS and ADD transformer support for duration prediction.
**Collection**: [Note which collection this PR will affect]
# Changelog
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The expdir and save_top_k under exp_manager are not working as expected.
1. "expdir" is getting created, but nothing is being written. I tried setting logger to False, even then nothing is being written to "expdir".
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} | Signed-off-by: Ante Jukić <ajukic@nvidia.com>
# What does this PR do ?
This PR adds an option to configure metrics for `AudioToAudio` models.
**Collection**: ASR
# Changelog
- Added `AudioMetricWrapper` to support batches with examples with variable input lengths
- Added unit tests
- Added example of u... | {
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Add support for concat dataset and aistore for label models. Ideally, we should implement both of the features in a single place, such that all of our datasets can automatically support them. But that requires some additional refactoring, so just adding partial support to a few datasets for... | {
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} | Signed-off-by: Taejin Park <tango4j@gmail.com>
# What does this PR do ?
decoder timestamp count has a mismatch when <unk> is decoded.
Instead of having a temporary solution to ignore <unk>, the script is changed to
output <unk> as decoded output with a correct timestamps.
https://github.com/NVIDIA/NeMo/pu... | {
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} | # What does this PR do ?
Update our code so that we can support Lightning 1.8.x and 1.9.x
**Collection**: Common
# Changelog
- Update NeMo for Lightning 1.9.0.
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/... | {
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} | Signed-off-by: SeanNaren <snarenthiran@nvidia.com>
Fixes https://github.com/NVIDIA/NeMo/issues/5821
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level... | {
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Getting `ImportError` bug when importing e.g. ASR model when installing NeMo from main. Presumably because of PL update yesterday? [(pl-release)](https://github.com/Lightning-AI/lightning/releases/tag/1.9.0)
**Steps/Code to reproduce bug**
`python -m pip install git+https://github.com/NVID... | {
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The [C++ dataset helper makefile](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/data/language_modeling/megatron/Makefile) of Megatron in NeMo attempts to write its output to `/usr/bin/ld`, causing training to crash when using singularity containers build off of your NVIDIA NGC Ne... | {
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We are trying to get multi-node training to work with NeMo Megatron by following the steps in the quick start steps in your [GPT model training docs](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/gpt/gpt_training.html). We're using Slurm on an HPC, and are... | {
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add apt-get upgrade -y in dockerfile
**Collection**: core
# Changelog
- add apt-get upgrade -y in dockerfile to upgrade packages for vulns patch
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
add apt-get upgrade -y in dockerfile
**Collection**: core
# Changelog
- add apt-get upgrade -y in dockerfile to upgrade packages for vulns patch
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github... | {
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**Collection**: core
# Changelog
- Add built container info to main readme for better visibility.
# Before your PR is "Ready for review"
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} | # What does this PR do ?
Placed a note to remove support for multiple GPU in question answering tutorial, redirecting them to use examples scripts instead, if multiple GPU is needed
**Collection**: nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Placed a note to remove support for multiple GPU in question answering tutorial, redirecting them to use examples scripts instead, if multiple GPU is needed
**Collection**: nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Fixed a few things in data simulator and related files, based on Taejin's script: https://github.com/tango4j/NeMo/blob/fix_mulspk_sim/scripts/speaker_tasks/create_alignment_manifest.py
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} | Signed-off-by: Yang Zhang <yangzhang@nvidia.com>
# What does this PR do ?
add documentation on tar dataset batch size for duplex normalization | {
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Could you provide some insights or an example doing that?
Thanks, | {
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} | # What does this PR do ?
Fix bugs in Intro to Transducer and Question Answering tutorials
**Collection**: nlp, asr
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Fix bugs in Intro to Transducer and Question Answering tutorials
**Collection**: nlp, asr
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
This PR fixes a bug in ALiBi implementation.
ALiBi paper: https://arxiv.org/abs/2108.12409
Results shows that ALiBi is comparable in performance to RPE, and is faster by 7% from RPE and 8% slower than learnable abs embeddings during training.
See plots below. ALiBi (this PR) in green... | {
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I have taken conformer-transducer (RNNT) & conformer CTC pretrained English medium models, and finetuned them for Tamil dataset. Finetuned CTC has decent WERs, whereas RNNT models have unacceptable WERs. Both were trained for 18 epochs. The CTC finetuning has consistently exponentially decreasing Validation ... | {
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# What does this PR do ?
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1. support grapheme case options with either "upper", "lower", or "mixed".
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# What does this PR do ?
update torchmetrics to latest version
**Collection**: ASR
# Changelog
- update to latest API of torch metrics
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# What does this PR do ?
update torchmetrics to latest version
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# Changelog
- update to latest API of torch metrics
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} | # What does this PR do ?
1. Add RETRO model NQA finetune scripts.
2. Make RETRO model compatible with MegatronLM RETRO model.
- Can turn off the RoPe positional embedding.
- Add version to RETRO model.
3. Add stride to the RETRO indexed memory map file.
4. during inference, host multiple BERT models for... | {
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# What does this PR do ?
Setuptools 65.x is causing issues with
**Collection**: [Core]
# Before your PR is "Ready for review"
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# What does this PR do ?
Setuptools 65.x is causing issues with
**Collection**: [Core]
# Before your PR is "Ready for review"
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- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.... | {
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} | # What does this PR do ?
Related #5638 #5772
Renames `sentence` column to `text` before creating manifest. Exposes `ensure_ascii` for saving the transcripts + fix naming of config class.
**Collection**: ASR
# Changelog
- CommonVoice support for `convert_hf_dataset_to_nemo` script.
# Usage
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I am trying to finetune the HifiGan vocoder using a set of my own audio data file. It is based on the FastPitch notebook in the tutorial.
https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/FastPitch_Finetuning.ipynb
Actually the first spec model of FastPitch is trained successfully. But th... | {
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# What does this PR do ?
This PR was cherry-picked from https://github.com/NVIDIA/NeMo/pull/5484, which attempted to merge r1.13.0. Rebased to r1.15.0.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add s... | {
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Does nemo has lexicon support for handling multiple pronunciations of the same word.
I understand this is supported in Riva framework as mentioned at https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tutorials/asr-python-advanced-customize-vocabulary-and-lexicon.html#customizing-pronunciation-wit... | {
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} | null | null | null | Hi All,
I wanted to adapt some specific domain text to a model trained on Generic datasets. In Kaldi, this is done by adding more domain data to LM and use it during decoding.
Is it this similar in Nemo too, like building a LM by adding domain specific text data & generic training text data together, then use thi... | {
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